Research

Questions I am currently exploring.

My research focuses on accountability in AI-enabled decision-making: who owns a decision, what evidence remains, and whether oversight remains meaningful once work becomes operational.

Behavioural Accountability and Traceability

BAT examines whether an AI-assisted workflow can be reconstructed when accountability is needed. It looks at behaviour around the system as well as formal governance around the system.

Decision ownership

How responsibility is allocated when AI shapes analysis, judgement or action.

Evidence and reconstruction

What records are needed to explain a decision after it has been made.

Human oversight

Whether review means challenge, approval, awareness or administrative sign-off.

Governance language under examination

The work is concerned with the gap between governance language and operational meaning. Particular attention is given to terms that sound clear in policy but become ambiguous in practice.

Question

Meaningful human review

What does the phrase require a person to do in practice?

Research themes

These themes guide current reading, review work and writing.

Accountability in AI-enabled decision-making

Ambiguity in governance language

Evidence trails

Governance implementation gaps

Contact

For research, independent review or a specific accountability question, email Kim Stevens directly or leave your details below.